entropy.joint: To calculate joint entropy
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Author(s)
See Also
Examples
View source: R/entropy.joint.R
Description
This function calculates the joint entropy between two variables X and Y with N possible state.
Usage
1
entropy.joint(pmXY,q,iicc)
Arguments
pmXY
Joint probability
q
Renyi Order
iicc
A list of options
Details
If q is equal 1, Renyi joint entropy converges to Shannon joint entropy
Author(s)
Joan Maynou <joan.maynou@upc.edu>
See Also
entropy
Examples
1
2
3
4
5
6
7
data(BackgroundOrganism)
data(RenyiOrder)
data(iicc)
training.set<-iicc$Transcriptionfactor
prob_parella<-probability.couple(Prob)
pmXY<-joint.probability(training.set, Prob, prob_parella)
entropy.joint(pmXY,q,iicc)
MEET documentation built on May 2, 2019, 5:52 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Author(s) See Also Examples
View source: R/entropy.joint.R
Description
This function calculates the joint entropy between two variables X and Y with N possible state.
Usage
1 | entropy.joint(pmXY,q,iicc)
|
Arguments
pmXY |
Joint probability |
q |
Renyi Order |
iicc |
A list of options |
Details
If q is equal 1, Renyi joint entropy converges to Shannon joint entropy
Author(s)
Joan Maynou <joan.maynou@upc.edu>
See Also
entropy
Examples
1 2 3 4 5 6 7 | data(BackgroundOrganism)
data(RenyiOrder)
data(iicc)
training.set<-iicc$Transcriptionfactor
prob_parella<-probability.couple(Prob)
pmXY<-joint.probability(training.set, Prob, prob_parella)
entropy.joint(pmXY,q,iicc)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.